| Unsupervised Bayesian visualization of high-dimensional data |
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International Conference on Knowledge Discovery and Data Mining
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Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
table of contents
Boston, Massachusetts, United States
Pages: 325 - 329
Year of Publication: 2000
ISBN:1-58113-233-6
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Authors
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Petri Kontkanen
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Complex Systems Computation Group (CoSCo), P.O.Box 26, Department of Computer Science, FIN-00014 University of Helsinki, Finland
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Jussi Lahtinen
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Complex Systems Computation Group (CoSCo), P.O.Box 26, Department of Computer Science, FIN-00014 University of Helsinki, Finland
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Petri Myllymäki
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Complex Systems Computation Group (CoSCo), P.O.Box 26, Department of Computer Science, FIN-00014 University of Helsinki, Finland
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Henry Tirri
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Complex Systems Computation Group (CoSCo), P.O.Box 26, Department of Computer Science, FIN-00014 University of Helsinki, Finland
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Downloads (6 Weeks): 8, Downloads (12 Months): 46, Citation Count: 1
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REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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P. Kontkanen, J. Lahtinen, P. Myllymaki, T. Silander, and H. Tirri. Using Bayesian networks for visualizing highdimensional data. Intelligent Data Analysis, 2000. To appear.
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P. Kontkanen, P. Myllymaki, T. Silander, and H. Tirri. BAYDA: Software for Bayesian classication and feature selection. In R. Agrawal, P. Stolorz, and G. Piatetsky- Shapiro, editors, Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), pages 254-258. AAAI Press, Menlo Park, 1998.
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P. Kontkanen, P. Myllymaki, T. Silander, and H. Tirri. On supervised selection of Bayesian networks. In K. Laskey and H. Prade, editors, Proceedings of the 15th International Conference on Uncertainty in Articial Intelligence (UAI'99), pages 334-342. Morgan Kaufmann Publishers, 1999.
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S. Lauritzen and D. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. J. Royal Stat. Soc., Ser. B, 50(2):157-224, 1988.
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H. Tirri, P. Kontkanen, and P. Myllymaki. Probabilistic instance-based learning. In L. Saitta, editor, Machine Learning: Proceedings of the Thirteenth International Conference (ICML'96), pages 507-515. Morgan Kaufmann Publishers, 1996.
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CITED BY
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Song Hengjie , Miao Chunyan , Shen Zhiqi , Miao Yuan , Bu-Sung Lee, A fuzzy neural network with fuzzy impact grades, Neurocomputing, v.72 n.13-15, p.3098-3122, August, 2009
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